Robotics & Machine Learning Daily News2024,Issue(Dec.4) :232-233.

Patent Issued for Method and system for key predictors and machine learning for configuring cell performance (USPTO 12142739)

用于配置电池性能的关键预测器和机器学习的方法和系统的专利(USPTO 12142739)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :232-233.

Patent Issued for Method and system for key predictors and machine learning for configuring cell performance (USPTO 12142739)

用于配置电池性能的关键预测器和机器学习的方法和系统的专利(USPTO 12142739)

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摘要

从发明人提供的背景资料中,新闻记者得出了以下结论:报价:“传统的电池配置方法可能成本高昂、繁琐和/或效率低下。”g .,它们可能是复杂的和/或耗时的,并且可能限制电池寿命。“传统方法和传统方法的进一步限制和缺点将变得明显”对于本领域技术人员,通过将这些系统与本公开的某些方面进行比较,如本申请其余部分参考附图所述。

Abstract

From the background information supplied by the inventors, news correspondents o btained the followingquote: “Conventional approaches for battery configuration may be costly, cumbersome, and/or inefficiente.g., they may be complex and/or t ime consuming to implement, and may limit battery lifetime.“Further limitations and disadvantages of conventional and traditional approache s will become apparentto one of skill in the art, through comparison of such sy stems with some aspects of the present disclosureas set forth in the remainder of the present application with reference to the drawings.”

Key words

Business/Cyborgs/Emerging Technologies/Enevate Corporation/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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